Real projects, grouped by client. For each one: the problem, what we built, and the impact it made.
Lab equipment & educational science products
I recommend Neugent.ai without reservation. They earned our confidence by delivering practical, production-ready AI solutions that continue to create measurable value throughout our organization.
When packing orders to ship out, warehouse workers had to guess which box sizes to use. That know-how lived in a few people's heads, and the guesses were not always the cheapest or fastest.
We built a simple tablet app called Packulator. For every shipment, it shows the worker the best box setup to use. No guessing, nothing to memorize, just a clear step to follow.
Saves over 300 work hours a year and cut shipping costs by a five-figure amount every year. It has been running in the warehouse ever since.
The company sells a large catalog of science products on Amazon. Lots of listings were not pulling their weight, and rewriting each one by hand to keep up with Amazon's search rules was slow, repetitive work.
We built a two-part AI system. The first part finds the weak listings and rewrites their titles, bullet points, and descriptions to follow the newest search rules. The second part checks the new text to make sure it does not break any rules, including safety rules for products that need them.
Work that used to take 30 to 40 hours is now done automatically, with better and more consistent listings. The same tool also works for eBay and Walmart.
The company was switching to a new business system called Acumatica. Their old data did not fit the new system, and fixing it by hand was going to waste staff time over and over.
We built a tool that takes the old data, reshapes it to fit the new system, and cleans it up along the way. This one did not need AI. It was just good engineering. Not every problem needs AI, and we do not add it when it is not needed.
About 50 hours a year saved on fixing and moving data.
The sales team needed a steady stream of good potential customers. Finding and researching them by hand was slow, and it was hard to tell which ones were actually worth the team's time.
We built a system that automatically finds potential customers, researches each one, and ranks them by how promising they are. It adds useful business details to every lead and drops them straight into the team's existing sales tool.
The system has generated more than 5,000 qualified sales leads so far, giving the sales team a steady pipeline without the manual research.
Environmental non-profit · Lake County Lake Lovers
Based on the experiences of our organization, we would hire Kaiden again for any of our AI needs. He was innovative with solutions, easy to work with, and always very responsive.
Global Water Works spent over 20 hours every week pulling lake water data together by hand, cleaning it, and making charts. The data was typed in by volunteers, so it was messy and full of small mistakes. Normal tools could not handle it.
We built a system that pulls in the data on its own, cleans it, and makes the charts and maps automatically. It uses AI to make sense of the messy human entries, which normal tools cannot do.
Work that took over 20 hours a week now takes about 5 minutes a week, across 21 lakes.
Marketing team
The university needed a steady list of good leads from one specific group: Catholic churches, parishes, and organizations. Finding them by hand took hours of searching websites and social media, with no easy way to tell which ones were a good fit.
We built a tool that finds these leads on its own. One AI reads each group's website and social media and collects the useful info. A second AI scores each lead, writes a short summary, and even drafts cold emails and call scripts. The team uses it through a simple app. No tech skills needed.
The tool found and scored over 10,000 leads. Work that used to take hours of research is now something the team just runs and reads. It took about a week to build and a few weeks to test.
Sales coaching
New sales reps learn by practicing on real customers, which wastes good leads. Coaching them also eats up hours that should be spent selling.
We built AI voice agents that act like fake customers. Each one can have its own voice and personality, so reps can practice any kind of call. After each call, the system grades the rep and gives feedback.
No real leads get wasted on practice, and reps can train on their own time instead of during selling hours.
Book a free 45-minute call. We'll tell you honestly if we can help, and what it would take.